论文标题
Polcovid：多中心多类胸部X射线数据库（波兰，2020-2021）
POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020-2021)
论文作者
论文摘要
SARS-COV-2大流行病的爆发使全球医疗保健系统陷入了限制，从而增加了等待时间的诊断时间并需要医疗援助。由于胸部X光片（CXR）是最常见的COVID-19诊断方法之一，因此已经开发了许多用于基于图像的COVID-19检测的人工智能工具，经常对Covid-19-19阳性患者的少量图像进行培训。因此，对高质量和良好的CXR图像数据库的需求增加了。本文介绍了Polcovid数据集，其中包含COVID-19或其他类型肺炎的患者的胸部X射线（CXR）图像，以及从15家波兰医院收集的健康个体。原始的X光片伴随着限制于肺部区域的预处理图像，以及通过分割模型获得的相应的肺面膜。此外，为Polcovid数据集的一部分和其他四个公开可用的CXR图像收集提供了手动创建的肺口罩。 Polcovid数据集可以帮助肺炎或COVID-19诊断，而匹配的图像和肺口罩也可以用于开发肺部分割溶液。
The outbreak of the SARS-CoV-2 pandemic has put healthcare systems worldwide to their limits, resulting in increased waiting time for diagnosis and required medical assistance. With chest radiographs (CXR) being one of the most common COVID-19 diagnosis methods, many artificial intelligence tools for image-based COVID-19 detection have been developed, often trained on a small number of images from COVID-19-positive patients. Thus, the need for high-quality and well-annotated CXR image databases increased. This paper introduces POLCOVID dataset, containing chest X-ray (CXR) images of patients with COVID-19 or other-type pneumonia, and healthy individuals gathered from 15 Polish hospitals. The original radiographs are accompanied by the preprocessed images limited to the lung area and the corresponding lung masks obtained with the segmentation model. Moreover, the manually created lung masks are provided for a part of POLCOVID dataset and the other four publicly available CXR image collections. POLCOVID dataset can help in pneumonia or COVID-19 diagnosis, while the set of matched images and lung masks may serve for the development of lung segmentation solutions.
